Using Volumetric Breast Density to Quantify the Potential Masking Risk of Mammographic Density

Abstract

OBJECTIVE: The purposes of this study were to compare BI-RADS density categories with quantitative volumetric breast density (VBD) for the reporting of mammographic sensitivity and to identify which patient factors are most predictive of a diagnosis of interval cancer of the breast versus screen-detected cancer. MATERIALS AND METHODS: This retrospective study included screen-detected cancers (n = 652) and interval cancers (n = 119) identified between January 2009 and December 2012. Multivariate logistic regression analysis was used to determine which patient factors are predictive of a diagnosis of interval cancer. Sensitivity (screen-detected cancer / [screen-detected cancer + interval cancer]) was determined with the BI-RADS 4th edition density categories and an automated equivalent density grade obtained with a proprietary tool. Sensitivity changes within automated density grade categories were investigated by use of quantitative thresholds at the midpoints of each category. RESULTS: = 0.959). CONCLUSION: In this study, breast density was the only risk factor significantly associated with a diagnosis of interval cancer versus screen-detected cancer. Quantitative VBD captures the potential masking risk of breast density more precisely than does the widely used visual BI-RADS density classification system.